Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/2410
Title: Garch parameter estimation using least absolute median
Authors: Hanafi A. Rahim
Keywords: QA 276.8 .H3 2012
Hanafi A. Rahim
Tesis Universiti Teknologi Mara 2012
Parameter estimation
Issue Date: Sep-2012
Publisher: [Selangor]: Universiti Teknologi Mara
Abstract: The general autoregressive conditional heteroscedasticity, (GARCH) family has become more efficient in fitting financial data as it consists of the second order moment that measures the time-variant of the volatility data. However, GARCH may fail to fit some high frequency financial data with large jumps called outliers. In this research, GARCH parameters were estimated using least absolute median (LAM).
URI: http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/2410
Appears in Collections:Staff Thesis

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